Validating the Virtual Calendering Process With 3D-Reconstructed Composite Electrode: An Optimization Framework for...

Area of Science:

• Materials Science
• Electrochemistry
• Computational Modeling

Background:

• Electrode calendering is crucial for lithium-ion batteries, impacting density and performance.
• Microstructural changes during calendering significantly affect electrochemical behavior.
• Experimental limitations necessitate advanced simulation approaches.

Purpose of the Study:

• To develop and validate a virtual calendering framework for lithium-ion battery electrodes.
• To correlate microstructural evolution with electrochemical performance.
• To provide a cost- and time-effective tool for optimizing electrode design.

Main Methods:

• Utilized high-resolution FIB-SEM tomography of a LiNi$_{0.6}$Co$_{0.2}$Mn$_{0.2}$O$_{2}$ cathode.
• Developed a virtual calendering simulation framework.
• Validated the framework through experiments across various electrode densities (2.3-4.0 g cm$^{-3}$).
• Analyzed microstructural features like ionic tortuosity and crack structure.

Main Results:

• The virtual calendering framework accurately predicts microstructural deformations.
• Simulations successfully correlate microstructural changes with electrochemical performance.
• Validated framework demonstrates reliability across a range of electrode densities.

Conclusions:

• The developed virtual calendering framework offers a reliable method for predicting electrode performance.
• This simulation approach enables efficient identification of optimal electrode design parameters.
• The validated model bridges the gap between computational predictions and experimental outcomes.